Table D.1.
Monte Carlo estimates of chance prediction metrics. P-value is the probability of chance explaining the Sn=80% of a matched reference algorithm. The expected values according to the Poisson formulas are E[Snc] = 0.27241, E[ρw] = 0.275, E[rw] = 0.155/hr, and p = 0.02153.
| Seizures vs. Chance Predictor Distributions | Quantity of Interest | Monte Carlo Simulation |
|---|---|---|
| Uniform, Poisson |
E[Snc] | 0.27053 |
| E[ρw] | 0.275 | |
| E[rw] | 0.156/hr | |
| p-value |
0.02008 |
|
| Gamma, Poisson |
E[Snc] | 0.27390 |
| E[ρw] | 0.275 | |
| E[rw] | 0.155/hr | |
| p-value |
0.02480 |
|
| Gamma, Gamma | E[Snc] | 0.27558 |
| E[ρw] | 0.275 | |
| E[rw] | 0.131/hr | |
| p-value | 0.03100 |